Chiharu Kazama

At a Japanese startup company, I applied my expertise in forest remote sensing. My responsibilities included designing and implementing ETL pipelines to process geospatial data from various data sources. I managed data preprocessing, analysis, and dataset optimization to support machine learning applications. Additionally, I leveraged Google Cloud services such as Cloud Storage, BigQuery, and Workbench notebooks to automate and manage geospatial data workflows. I also explored Vertex AI for basic experimentation with ML models, and used gsutil to transfer data between VM instances and Cloud Storage.

GIS-Related:
Worked as a member of a GIS team focused on forest remote sensing, contributing to the development of systems for detecting tree species, storm damage, and bark beetle outbreaks in Scandinavian forests. Additionally, worked on localizing trees in North American deserts using satellite imagery and AI technologies.

Outside of GIS:
Analyzed HVAC-related logs from public facilities to identify key data patterns. Leveraged Power BI to create and deliver presentations that effectively communicated insights to stakeholders, enabling data-driven decisions for system optimization.

Conducted research on synthetic data generation, with a focus on safety control mechanisms. Implemented methods to synthesize tabular datasets, ensuring data patterns were preserved while safeguarding sensitive personal information.

A 14-week internship focused on spatial data analysis using tools such as SNAP, QGIS, and Python.
Conducted investigations into the principles of Synthetic Aperture Radar (SAR) and preprocessing of Sentinel-1 data.
Applied these techniques to research projects, including crop harvest estimation, flood mapping, and ground displacement analysis.

Assist in a class in mathematics and computer labs for a mandatory Python course for undergraduate students.

Supported MatchIT students learning Python and basic of mathematics for programming.

MatchIT is a programming training program for newcomers with an interest for IT. It was organised by Lund university and Arbetsförmedlingen.